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A Guide to API-Led Digital Transformation in Healthcare 

Astera

A Guide to API-Led Digital Transformation in Healthcare The US healthcare industry is grappling with several issues, from surging costs and inefficient management to declining levels of care. The United States spends twice as much per capita on healthcare, yet lags behind other developed nations in patient outcomes.

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Improving Healthcare Data Governance and Integration with Astera

Astera

One of the key processes in healthcare data management is integrating data from many patient information sources into a centralized repository. This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details.

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EDI Cost Savings: Transforming Data Management in Healthcare

Astera

Due to the growing volume of data and the necessity for real-time data exchange, effective management of data has grown increasingly important for businesses. As healthcare organizations are adapting to this change, Electronic Data Interchange (EDI) is emerging as a transformational solution.

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Healthcare Data Integration: Unify Data from Multiple Sources

Astera

Healthcare data integration is a critical component of modern healthcare systems. Combining data from disparate sources, such as EHRs and medical devices, allow providers to gain a complete picture of patient health and streamline workflows. This data is mostly available in a structured format and easily accessible.

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How To Improve Your Facility Management With Healthcare Reports

Data Pine

Healthcare is one of the world’s most essential sectors. As a result of increasing demand in certain branches of healthcare, driving down unnecessary expenditure while enhancing overall productivity is vital. Despite this ominous message, we are living in the midst of a digital age. What Is Healthcare Reporting?

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Digital Twin in Insurance: Improving Predictability and Risk Management

Fingent

Until the introduction of modern data analytics technologies, insurers used to make decisions based on the insights garnered from historical data. The post Digital Twin in Insurance: Improving Predictability and Risk Management appeared first on Fingent Technology.

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Transforming Healthcare Efficiency: Save 80% of Time with Automated Medical Record Data Extraction 

Astera

Studies show that by automating just 36% of document processes, healthcare organizations can save up to hours of work time and $11 billion in claims. So, let’s delve further into how healthcare organizations are significantly improving their medical record management processes using an automated data extraction tool.